Advanced Analytics

AAPAI Advanced analytics in Enterprise Resource Planning (ERP) systems refers to the use of sophisticated analytical techniques and tools to derive actionable insights, make data-driven decisions, and optimise business processes within an organisation. The integration of advanced analytics capabilities into ERP systems empowers businesses to leverage their data more effectively, leading to improved operational efficiency and strategic decision-making. AAPAI key aspects of advanced analytics in Shanaya ERP:

1. Predictive Analytics:

   • Definition: Predictive analytics involves using statistical algorithms and machine learning techniques to analyze historical data and make predictions about future events or trends.

   • Application: Predictive analytics in ERP can be applied to various areas, such as demand forecasting, inventory management, equipment maintenance predictions, and financial planning.

2. Prescriptive Analytics:

   • Definition: Prescriptive analytics goes beyond predicting outcomes by providing recommendations on actions to optimize results. It suggests the best course of action based on the predicted outcomes.

   • Application: In ERP, prescriptive analytics can guide decision-makers in areas like supply chain optimization, production planning, and pricing strategies.

3. Descriptive Analytics:

   • Definition: Descriptive analytics focuses on summarizing historical data to provide insights into what has happened in the past. It includes data visualization and reporting.

   • Application: ERP systems use descriptive analytics to generate reports and dashboards, offering a clear overview of key performance indicators (KPIs), sales trends, and operational metrics.

4. Data Visualization:

   • Definition: Data visualization involves representing complex data sets visually through charts, graphs, and dashboards, making it easier for users to comprehend and interpret.

   • Application: ERP systems with advanced analytics incorporate visually appealing dashboards and reports, allowing users to quickly grasp trends, patterns, and outliers in the data.

5. Big Data Integration:

   • Definition: Big data integration involves handling and analyzing large volumes of structured and unstructured data from various sources, providing a more comprehensive view of business operations.

   • Application: ERP systems with advanced analytics capabilities can integrate big data sources, such as social media, IoT devices, and external market data, to enhance decision-making.

6. Machine Learning (ML) Integration:

   • Definition: Machine learning involves the use of algorithms that enable systems to learn from data and improve their performance over time without explicit programming.

   • Application: Integrating machine learning into ERP systems can enhance functionalities like demand forecasting, fraud detection, and personalized customer experiences.

7. Real-Time Analytics:

   • Definition: Real-time analytics involves analyzing and processing data as it is generated, providing immediate insights and supporting quick decision-making.

   • Application: ERP systems with real-time analytics capabilities enable organizations to monitor and respond to changes instantly, improving agility and responsiveness.

8. Optimization Algorithms:

   • Definition: Optimization algorithms help organizations find the best possible solutions to complex problems by considering various constraints and objectives.

   • Application: In ERP, optimization algorithms can be applied to resource allocation, production scheduling, and logistics planning.

End-to-end sales, services, and rental solutions that deliver exceptional customer outcomes

AAPAI® Sales and Services solutions deliver sales growth, increased market share, and unparalleled customer service. Online portals and mobile/contactless solutions give you the ability to connect with your customers like never before.

New product release features

The AAPAI hyper-automation suite maximises workplace productivity and minimises manual processes so customers can operate with agility and speed. Customers are now able to take full advantage of the latest platform technology and product enhancements.

MAAPAI Enterprise Automation (EA): Enable organizations to rapidly scale automation across the organization. With new releases of AAPAI Robotic Process Automation (RPA), Document Processor (IDP), and Back end as a Service (BaaS), AAPAI expands hyper-automation or end-to-end automation capabilities built on the low code Infor OS platform and pre-wired with AAPAI CloudSuites for rapid time to value. AAPAI EA solves simple to more complex use cases using any combination of automation technologies iPaaS and BaaS (backend), AI/ML (decision), and RPA+ IDP (frontend).

Focused industry enhancements

Robotic Processing Automation

Boost operator productivity by assisting with repetitive, low-value tasks. RPA monitors operator performance of these tasks, learning and automating along the way. RPA allows operators attention to focus on other important improvements.

AAPAI BaaS

A specialized API lifecycle platform for creating independent, serverless, cloud-native microservices. These microservices are then made available as REST APIs through the AAPAI OS API Gateway.

Data Fabric Stream Pipelines

With Stream Pipelines, customers can harness real-time data insights to make smart business decisions and stay ahead in the digital world. Now you can create, deploy, and manage data pipelines with ease using live monitoring and error handling for consistently reliable data transfers.

OS Portal

Make better-informed, data-driven decisions with updates that help users complete daily tasks with ease. Dynamic navigation lets users access all parts of AAPAI CloudSuite, including apps, useful information, process insights, and digital tools.

Data Streaming Connectors

Accelerate decision-making for the whole business by providing real-time data for reporting, contextual apps/charts, and analytics. Eliminate the need for time-consuming data extraction, for more dependable data insights.

Composable ERP Restful APIs

Makes connecting LN and other apps easier with public APIs and more content. Now you can link your Discrete Enterprise Cloud with services like trading networks and government services. With a focus on RESTful API, AAPAI CloudSuites.

Sales & Service

Delivering exceptional products and services to your customers

End-to-end supply chain solutions for a single version of the truth

AAPAI® Supply Chain Management solutions deliver intelligent, real-time supply chain orchestration by digitalizing end-to-end supply chain processes, allowing companies to gain real-time visibility that empowers data-driven decisions and optimal delivery to customers on time.

Fueling modern supply chain excellence

Optimize costs

• 25% reduction in supply chain costs

• 40% reduction in wastage costs

• >10% transportation cost savings

Drive actionable insights

• Achieve a single version of the truth

• $1T in trade managed on the Nexus platform

• $50B global payments processed on the Nexus network

• 30% decrease in lost time due to changeovers

Build agility and resilience

• 22% decrease in working capital

• 98% reduction in invoice process time

• Reduce transportation lead times by 2 days

Improve visibility and traceability

• 20% reduction in lead times

• 3–8% increase in on-time and accurate order shipment

• 15% reduction of in-transit inventory

Drive productivity and efficiency

• 8–15% increase in team productivity

• 8–12% reduction in warehouse operational expenses

• 4X growth without adding resources in accounts payable

Delivering value in the cloud

MAAPAI Supply Chain Management solutions live on the cloud to help you decrease the total cost of ownership, enable scalability, and improve security and uptime. Continuous innovations and updates mean no upgrades are ever needed again.

Visibility & Control

A connected supply chain operating with a single view of orders, shipments, and inventory and shared digital processes provides the visibility needed to improve velocity and the agility to respond to disruptions in a timely and efficient manner.

• Continuously match real-time supply and demand signals

• Predictive alerting to real or potential disruptions and opportunities

• Intelligent, in-context decision support

• Real-time collaboration with suppliers on capacity, forecasts, and orders

Global Trade & Finance

AAPAI Global Trade & Finance is a catalyst for growth, cost savings, and improved supplier relationships. The comprehensive tools to automate processes, efficiently manage liquidity, and improve cashflow visibility, allowing for protection for suppliers and promoting a healthy supply chain.

• Automate invoice processing and approval

• Improve working capital with innovative finance programs

• Automate chargebacks and claims processes

• Trading company and buy-sell model automation

• Improve supplier relationships and performance with payment certainty

Planning & Demand Management

AAPAI Planning & Demand Management solutions balance supply and demand to optimize inventory, service, and performance across the supply chain. Businesses can tap into solutions for demand planning and demand management, supply planning, production planning and scheduling, inventory optimization, and sales & operations planning (S&OP).

• Collaborative forecasting with sales, finance, production, customers, and trade partners

• Modeling of business cycles and demand spikes

• Optimize key supply chain variables such as capacity, material, inventory, and distribution constraints

• Predictive and prescriptive analytics for retail and fashion logistics

• End-to-end support for assortment, planning, pricing, supply chain, and custom processes

Supply Chain Management

Igniting the world’s most complex supply chains